From Data to Action: Exploring AI and IoT-driven Solutions for Smarter Cities

Tiago Dias, Tiago Fonseca, João Vitorino, Andreia Martins, Sofia Malpique +1 more
6/6/2023
cs.LGcs.CVeess.SY

No confident code implementation found for this paper. 3 possible matches can be shown below.

Abstract

The emergence of smart cities demands harnessing advanced technologies like the Internet of Things (IoT) and Artificial Intelligence (AI) and promises to unlock cities' potential to become more sustainable, efficient, and ultimately livable for their inhabitants. This work introduces an intelligent city management system that provides a data-driven approach to three use cases: (i) analyze traffic information to reduce the risk of traffic collisions and improve driver and pedestrian safety, (ii) identify when and where energy consumption can be reduced to improve cost savings, and (iii) detect maintenance issues like potholes in the city's roads and sidewalks, as well as the beginning of hazards like floods and fires. A case study in Aveiro City demonstrates the system's effectiveness in generating actionable insights that enhance security, energy efficiency, and sustainability, while highlighting the potential of AI and IoT-driven solutions for smart city development.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 3 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Evacuation Management Framework towards Smart City-wide Intelligent Emergency Interactive Response System

84% match2024

A Data-Driven Framework for Digital Transformation in Smart Cities: Integrating AI, Dashboards, and IoT Readiness

83% match2025

Revolutionizing Traffic Management with AI-Powered Machine Vision: A Step Toward Smart Cities

83% match2025

Intelligent Energy Management with IoT Framework in Smart Cities Using Intelligent Analysis: An Application of Machine Learning Methods for Complex Networks and Systems

83% match2023

AI on the Road: A Comprehensive Analysis of Traffic Accidents and Accident Detection System in Smart Cities

83% match2023

Leveraging Generative AI for Urban Digital Twins: A Scoping Review on the Autonomous Generation of Urban Data, Scenarios, Designs, and 3D City Models for Smart City Advancement

82% match2024

Cite this paper

@article{dias2023from,
  title  = {From Data to Action: Exploring AI and IoT-driven Solutions for Smarter Cities},
  author = {Tiago Dias and Tiago Fonseca and João Vitorino and Andreia Martins and Sofia Malpique and Isabel Praça},
  year   = {2023},
  eprint = {2306.04653},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2306.04653v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2306.04653.svg)](https://codeofpaper.com/paper/2306.04653)

Discussion